Factors influencing on residents’ household waste separation behavioral intention evidence from ho chi minh city, vietnam

122 Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 Factors influencing on residents’ household waste separation behavioral intention: Evidence from Ho Chi Minh City, Vietnam Tran Pham Khanh Toan1* People’s Committee of District 10, Ho Chi Minh City, Vietnam * Corresponding author: toantpk.19ae@ou.edu.vn ARTICLE INFO ABSTRACT DOI:10.46223/HCMCOUJS econ.en.11.1.542.2021 Household solid waste has become a serious problem in Ho Chi Minh City, Vietnam over the last 10 years, resulting in significant side effects on the environment Although various programs of waste separation at source have been deployed, they have stopped at the level of the pilot - programs and have generally not been replicable Based on the Theory of Planned Behavior (TPB), this study was examined the key factors influencing waste separation behavioral intention of residents in Received: June 12th, 2020 Ho Chi Minh City (HCMC), Vietnam’s economic center By Revised: August 19th, 2020 using SPSS 20.0 software for the sample size of 487 residents, the regression models are used to process and explain data The Accepted: August 20th, 2020 research detects six factors, namely Attitude towards waste separation; Social norms; Perceived behavioral control; Knowledge about waste separation; Laws and regulations; Propaganda that significantly directly affected residents ‘behavioral intention, Knowledge about waste separation being the strongest construct significantly to predict individuals’ intention Of the six above-listed constructs, only Perceived Keywords: behavioral control had a negative impact on residents’ waste separation behavioral intention The findings from this research waste separation, behavioral intention, the Theory of Planned may help policy-makers have a better understanding of residents’ Behavior, Ho Chi Minh City waste separation behavioral intention Introduction HCMC is the core of Vietnam’s largest urban area, heading towards a population of 12 million in 2025 It is the megacity and the economic center of the country The economic and industrial development led to massive immigration into HCMC in recent years, causing an average immigration rate of 250.000 people per year from 2007 to 2015 (General Statistics Office of Vietnam, 2014) HCMC is facing a steady increase in the household solid waste volume, and municipal waste takes the main part of the solid waste generated The total volume of Municipal Solid Waste is estimated at 8.100-8.300 tons/day (excluding waste sludge) It not only causes serious pollution problems, which are not conducive to the environment and human health (Nguyen & Schnitzer, 2009) but also retards the sustainable development of society The concept of separating household solid wastes is not new to Vietnamese people, especially to those living in urban cities such as Hanoi, HCMC, Da Nang City… From 2006 to 2009, the 3R (reduce, reuse, recycle) initiative funded by the Japan International Cooperation Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 123 Agency was implemented by the HCMC Urban Environmental Company in selected central districts (Nguyen, Nguyen, Zhu, & Le, 2015) The key activities of the 3R initiative included the provision of waste bins, the introduction of new source-separated collection bins, and environmental education for children (Ngo & Pham, 2011) The government extended the 3R policy and confirmed its determination of increasing the quantity of national waste separation at source and also by implementing the National Strategy on Integrated Solid Waste Management through to 2025 But they have stopped at the level pilot - programs and have generally not been replicable Faced with the problem of rapid household solid waste, HCMC authorities have established legislative and institutional groundwork related to waste separation Based on the Environmental Protection Law 2015 and the Decree No 38/2015/ND-CP on waste management, HCM authorities issued Decision No.44/2018/QD-UBND dated 14/11/2018 about the regulation on waste separation However, waste separation in HCMC is currently facing actual difficulties Residents’ unwillingness to sort waste, users’ limited awareness and difficulties in sorting waste are among the reasons for arising serious problems of household solid waste in HCMC To clarify antecedents and drivers that motivate individuals to separate solid waste, recent studies have employed the Theory of Planned Behavior (TPB) and focused on the impact of motives namely attitude, subjective social norm, and perceived behavioral control on recycling behavior (Ayob, Sheau-Ting, Jalil, & Chin, 2017; Mahmud & Osman, 2010) Moreover, several other studies have emphasized the important impacts of situational factors such as past experiences, income, and inconvenience on household waste separating behavioral intention (Desa, Kadir, & Yusooff, 2011; Philippsen, 2015; Ramayah, Lee, & Lim, 2012) However, it seems to be that few studies were conducted by exploring the influences of these combined factors on waste separating behavioral intention Consequently, the need for a more comprehensive picture drawing on related influencers is crucial, which can provide both decision-makers and agencies with an in-depth understanding that can be used to enhance separating rates From the research gaps above, it is very urgent and necessary to have a comprehensive study to help understand the social and psychological impacts on residents’ behavior toward waste separating, and in moving people on to other pro-environmental behaviors This study aims to answer the question of what the factors influencing residents’ waste separation behavioral intention are Literature review 2.1 The Theory of Planned Behavior (TPB) The Theory of Planned Behavior (TPB) was proposed by Ajzen in 1985 The TPB was extended from the Theory of Reasoned Action (TRA) by adding perceived behavioral control constructs, which is considered one of the most effective socio-psychological models in predicting and explaining social behaviors (Ajzen, 1991) In TPB, the performance of individuals’ behavior is determined by their behavior intentions which influenced by three conceptually independent constructs, consisting of attitudes toward behavior (personal attitude and individual conduct), subjective social norm (influence or social pressures to perform a behavior), and perceived behavioral control (indicates individuals’ perceived ease or difficulty of performing the particular behavior) As of its launch, the TPB has been used to explore a wide variety of sustainable behaviors, for instance: sustainable transportation use (Donald, Cooper, & Conchie, 2014), 124 Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 household energy-saving (Webb, Soutar, Mazzarol, & Saldaris, 2013) and has gained considerable success It is apparent that TPB is a useful and powerful framework for supporting researches related to sustainable behavior and this approach can be applied to most behaviors (Poškus, 2015) To be specific, there is strong evidence proving that TPB is successful in most research on separating (Ayob et al., 2017; Mahmud & Osman, 2010); therefore, TPB is now considered as a preferred theory providing a systematical framework for analyzing the determinant elements affecting separation and/or recycling behavior (Ramayah et al., 2012; Tonglet, Phillips, & Read, 2004) Recently, researchers have extended the TPB model in several studies about recycling behavior by adding some variables such as recycling experience, laws, and regulations, propaganda … with the hope to improve the predictability of the model The reason behind this extension is supposed to have a considerable contribution to sustainable behavior Following the original TPB, this study adds three latent variables, namely, Knowledge about waste separation, Laws and regulations, and Propaganda, and constructs a model with waste separation intention as a dependent variable to explore the influencing factors of people’s intention toward separating household waste Figure displays the extended theoretical model Figure Extended theoretical model 2.2 Attitude towards waste separation Attitude refers to an individual’s positive or negative attitude in performing a particular behavior with some degree of favor - disfavor, like-dislike, satisfaction - dissatisfaction, or goodbad polarity (Eagly & Chaiken, 1993; McEachan, Conner, Taylor, & Lawton, 2011) As attitude is a relatively persistent and stable psychological construct, many studies have confirmed the influence and prediction of attitude on waste separation behavioral intention (Best & Mayerl, 2013; Nixon & Saphores, 2007) This study defines attitude as people’s perception and tendencies of behavior toward waste separation If people hold a positive attitude toward waste separation, then they become more aware of the importance of waste separation and are consequently more intent on engaging in separating waste, and vice versa (Chen & Tung, 2014) Based on the above discussions, the following hypothesis is proposed H1: Attitude is positively related to waste separation intention Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 125 2.3 Subjective social norms Subjective social norms are normally supposed to capture the individual’s perception of being important to others in his or her social environment wish or expect him or her to behave in a certain way (Ajzen, 1991) In this study, subjective social norms are defined as the approval of others’ expectations, such as family norms (Olsen, 2001) The findings within the literature are mixed, but most studies reported that subjective social norms are an independent and important variable in explaining consumer intention (Ajzen, 1991) Subjective social norms have been shown as an important factor in explaining the motivations toward waste separation in some studies (Ayob et al., 2017; Mahmud & Osman, 2010) In the context of East Asian culture, society encourages collectivism rather than individualism Thus, individuals are easily influenced by leaders and even related organizations In this study, subjective social norms refer to the influence of external social pressure on the willingness of people to sort waste The greater the social pressure that people perceive about waste sorting, the stronger their willingness to participate (Matthies, Selge, & Klöckner, 2012; Ru, Wang, & Yan, 2018) Thus, the following hypothesis is proposed: H2: Subjective social norms are positively related to waste separation intention 2.4 Perceived behavioral control Ajzen (1991) focused on perceived behavioral control as the person’s beliefs as to how easy or difficult the performance of the behavior is likely to be The more resources and opportunities an individual thinks he or she possesses, the fewer obstacles or impediments they anticipate, and the greater should be their perceived control over the behavior He also suggested that control factors can be either internal to the person (e.g., skills, abilities, power of will, and compulsion) or external to the person (e.g., time, opportunity, and dependence on others) Perceived behavioral control is defined in this study as an integrated measure of internal and external resources that make it easy to act upon the motivation to separate wastes Previous studies have proven that the inclusion of perceived behavioral control improves the TPB model’s ability to predict or explain intention (Armitage & Conner, 2001; Verbeke & Vackier, 2005) However, perceived behavioral control fails to predict intention in quite many cases (Eagly & Chaiken, 1993; McMillan & Conner, 2003) Therefore, this study includes perceived behavioral control together with attitudes and social norms and expects that it has a positive effect on intention Thus, the following hypothesis is proposed: H3: Perceived behavioral control is positively related to waste separation intention 2.5 Knowledge about waste separation Knowledge about waste separation is divided into two categories (Zhang, Huang, Yin, & Gong, 2015) The first one focuses on general knowledge about facts, concepts, and usefulness of waste separation The second one involves specific waste separation technology (Fryxell & Lo, 2003) This study defines knowledge about waste separation as general knowledge about waste separation Knowledge is considered to be one of the key drivers of waste separation A variety of articles have shown that there is a significant relationship between knowledge about waste separation and waste separation intention (Hansmann et al., 2006; Wang, Guo, & Wang, 2016) H4: Knowledge about waste separation is positively related to waste separation intention 126 Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 2.6 Laws and regulations, propaganda Yu, He, Li, Huang, and Zhu (2014) proved that the laws and regulations had a positive effect on the willingness of residents to separate Wang et al (2016) found that promulgation and public spread of the laws and regulations improved environmental awareness among residents and in turn making them ready to sort waste Noehammer and Byer (1997) founded that compulsory recycling programs launched by the government had a higher participation rate than voluntary resident recycling Vietnam is a government-leading country which means all levels of government are responsible for issuing legislation on waste separation In a nutshell, laws, and regulations ruled by the government play a vital part in waste sorting Moreover, propaganda could motivate residents to realize the significance of household waste separation and hence perform separate collections better De Feo and De Gisi (2010) presented the idea that propaganda and citizen encouragement could encourage residents to separate waste Accordingly, the following research hypothesis can be concluded: H5: Laws and regulations positively impact waste separation intention H6: Propaganda is positively related to waste separation intention Research methodology 3.1 Set up the measuring scale and design the questionnaire The research is carried out with two main steps: preliminary research and formal research The preliminary research is performed by in-depth interviews Ten citizens are invited to engage in face-to-face interviews This approach is to identify factors that affect waste separation intention It helps adjust observed variables and measurement scale to a particular situation of waste sorting, as well as related terms The interviewers use a semi-structured questionnaire that lists the main questions to ask during the interview and which can be changed to make them appropriate to each respondent Specifically, 29 draft statements of six constructs developed from the literature review are presented to respondents for their assessment The result of preliminary research shows that almost all factors/variables are rather sufficient, clear, and understandable This result directs the design of the quantitative questionnaire for the next step of the research process The completed scale is built-in Table including Attitude towards waste separation (6 items), Subjective social norm (5 items), Perceived behavioral control (5 items), Knowledge about waste separation (4 items), Laws and regulations (4 items), Propaganda (3 items), and Waste Separation Intention (4 items) Table Measurement scale of the main constructs Item code Observed variables Source Attitude towards waste separation (AT) AT1 Waste separation is good AT2 Waste separation is wise AT3 Waste separation is beneficial AT4 Waste separation is everyone’s responsibility Philippsen (2015), Ayob et al (2017), focus group discussion Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 127 Item code Observed variables AT5 Waste separation is commendable AT6 I am interested in waste separation Source Subjective social Norm (SN) SN1 Most people who are important to me support waste separation SN2 My family thinks that I should waste separation SN3 My friends think that I should waste separation SN4 My colleagues think that I should waste separation SN5 The people who are doing waste separation that I know always say good things about this regulation Philippsen (2015) Perceived behavioral control (PC) PBC1 I have no time for waste separation PBC2 Waste separation is difficult PBC3 Waste separation takes too much time PBC4 Waste separation is costly for equipment PBC5 Waste separation is not easily technically correct Mahmud and Osman (2010), focus group discussion Knowledge about waste separation (KNO) KN1 Waste separation is a primary way to protect the environment KN2 Waste separation is a primary way to conserve natural resources KN3 I understand how to separate waste KN4 I understand the laws and regulations about waste separation Philippsen (2015), focus group discussion Laws and regulations (LR) LR1 Government policy would influence me to separate waste LR2 The laws and regulations require the responsibilities of residents to separate waste LR3 I will obey the laws and regulations about waste separation LR4 The laws and regulations Yu et al (2014), focus group discussion Propaganda (PP) PP1 Propaganda about waste separation raise the residents’ awareness about waste separation PP2 Propaganda about waste separation creates motivation to separate PP3 Propaganda about waste separation affect positively to residents’ waste separation intention Waste Separation Intention (SI) Wang et al (2016), focus group discussion 128 Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 Item code Observed variables SI1 I intend to separate waste as a habit SI2 I intend to separate waste if the government supply equipment SI3 I am willing to participate in waste separation programs hold by the government SI4 I am willing to tell my relatives about waste separating experiences Source Ayob et al (2017) Source: The researcher’s data analysis The questionnaire in this study includes two main sections, which were designed to fulfill the research objectives and several key requirements from the research hypotheses The first section focuses on the measurement of the construct in the research model Questions on attitude towards waste separation, social norms, perceived behavioral control, knowledge about waste separation, laws and regulations, propaganda, and behavioral intentions were included Studying factors impacting separation behavior intention uses the scale Likert that is levels as follows: level 1: very disagreed; level 2: disagreed; level 3: normal; level 4: agreed; level 5: very agreed In the second section, questions on demographic characteristics were asked, including gender, age, and education level 3.2 Method for choosing sample and sample scale The sampling method adopted is convenience sampling Hair, Black, Babin, and Anderson (2010) emphasize the number of samples must be at least five times the number of observed variables, the result ensures accuracy Thus, a sample size of 155 or more can be accepted for this research A total of 500 questionnaires were delivered, and 494 attained samples After screening and removing invalid questionnaires (those were not fully completed or the answers were one - scale dimension), a total of 487 valid samples were used for further analysis Analysis of research result 4.1 Descriptive statistics Table presents detailed information on respondents’ general socio-demographic characteristics Among the participants, 52.36% (n= 255) were females and 47.63% (n=232) were males Most respondents were between 45 to 60 years old (31,21%, n=152), followed by above 60 years old (27,11%, n=132) Only 83 interviews (17.04%) who are under 30 years old Regarding the respondents’ education level, the high school group accounts for 26.24%, the university or above group accounts for 23.99% Most of the respondents are a trader (18.89%), followed by Retiree, Housewife with 90 people (18.48.%) Thus, the research sample is suitable for research purposes Tran Pham Khanh Toan Ho Chi Minh City Open University Journal of Science, 11(1), 122-135 129 Table Demographic profile of respondents (n=487) Demographic Variables Gender Age Educational level Profession Group Frequency Percentage (%) Female 255 52.36 Male 232 47.63 < 30 83 17.04 30-45 120 24.64 45-60 152 31.21 >60 132 27.11 Primary school 46 9.44 Secondary school 95 19.51 High school 128 26.28 College/Vocational education 101 20.74 University or above 117 24.03 Retiree 90 18.48 Civil servant 73 14.99 Office worker 49 10.06 Trader 92 18.89 Worker 39 8.01 Housewife 90 18.48 Others 54 11.09 Source: The researcher’s data analysis 4.2 Testing for reliability of the scales Before testing the hypotheses, we initially test the measurement items for each of the constructs in the model via Cronbach’s alpha The reliability test result shows that all the Cronbach’s alpha of the scales is rather high (the minimum of Cronbach’s alpha is 0.781), and the item-total correlations of all items are also high (the minimum is 0.513), after deleting the items SN4 because of its item-total correlations is 0.288 < 0.3 Thus, all measurement items (except for SN4) should be tested using Exploratory Factor Analysis (EFA) To guarantee convergent validity, items with factor loadings, which are not significant or below 0.5, are eliminated (Bagozzi, 1994) At the first rotated round, six components are extracted and two items are deleted (AT6: I am interested in waste separation and LR2: The laws and regulations require the responsibilities of residents to separate waste) because of low factor loading (